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A model of hippocampal cell assembly dynamics based on single-cell theta phase precession

BMC Neuroscience201314 (Suppl 1) :P402

https://doi.org/10.1186/1471-2202-14-S1-P402

  • Published:

Keywords

  • Cell Assembly
  • Exploratory Behaviour
  • Behavioural Variable
  • Spatial Cognition
  • Place Cell

Neural oscillations are associated with a wide variety of cognitive and perceptual processes, both in health and disease. In the hippocampus of rodents during exploratory behaviours, prominent theta and gamma oscillations are observed in the local field potential (LFP). These rhythms are linked to spatial cognition and working memory, but the underlying mechanisms are unclear. At the single-cell and cell assembly levels, two salient features emerge during the theta rhythm - phase precession and spatiotemporal spike sequences. The relationship between these two phenomena is yet to be fully characterised. For example, it is unclear whether the sequential structure of hippocampal cell assemblies is fully explained through independent phase coding at the single-cell level, or whether further coordination is required to account for the observed multi-cell behaviour.

We developed a descriptive model of phase coding in individual place cells and used this model to investigate the cell assembly dynamics on a linear track. Under the assumption of independent phase coding, key experimental quantities were derived analytically and their relationship to behavioural variables was analysed and compared to experimental data (e.g., [1]). We showed that experimentally established relationships between behavioural variables such as running speed and cell assembly metrics such as the compression factor and lookahead can be reproduced and understood analytically in terms of the collective behaviour of independent phase coding units.

Declarations

Acknowledgements

This work was supported by the EPSRC, BBSRC and MRC through the Neuroinformatics and Computational Neuroscience Doctoral Training Centre at the University of Edinburgh.

Authors’ Affiliations

(1)
Institute for Adaptive and Neural Computation, University of Edinburgh, EH8 9AB, UK
(2)
Neuroinformatics Doctoral Training Centre, University of Edinburgh, EH8 9AB, UK
(3)
Centre for Integrative Physiology, University of Edinburgh, EH8 9XD, UK

References

  1. Maurer AP, Burke SN, Lipa P, Skaggs WE, Barnes CA: Greater Running Speeds Result in Altered Hippocampal Phase Sequence Dynamics. Hippocampus. 2012, 22: 737-747. 10.1002/hipo.20936.PubMed CentralView ArticlePubMedGoogle Scholar

Copyright

© Chadwick et al; licensee BioMed Central Ltd. 2013

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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